) KDnuggets™ News 21:n02, Jan 13: Best Python IDEs and Code Editors; 10 Underappreciated Python Packages for Machine Learning Practitioners
Best Python IDEs and Code Editors You Should Know; 10 Underappreciated Python Packages for Machine Learning Practitioners; Top 10 Computer Vision Papers 2020; CatalyzeX: A must-have browser extension for machine learning engineers and researchers
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Tutorials, Overviews
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This week on KDnuggets: Best Python IDEs and Code Editors You Should Know; 10 Underappreciated Python Packages for Machine Learning Practitioners; Top 10 Computer Vision Papers 2020; CatalyzeX: A must-have browser extension for machine learning engineers and researchers; MLOps: Model Monitoring 101; and much, much more.
Features
Best Python IDEs and Code Editors You Should Know
- 10 Underappreciated Python Packages for Machine Learning Practitioners
- Top 10 Computer Vision Papers 2020
- CatalyzeX: A must-have browser extension for machine learning engineers and researchers
- MLOps: Model Monitoring 101
Tutorials, Overviews
- Creating Good Meaningful Plots: Some Principles
- Working With Sparse Features In Machine Learning Models
- Cloud Data Warehouse is The Future of Data Storage
- Attention mechanism in Deep Learning, Explained
- OpenAI Releases Two Transformer Models that Magically Link Language and Computer Vision
- JupyterLab 3 is Here: Key reasons to upgrade now
- Advice to aspiring Data Scientists - your most common questions answered
Learn Data Science for free in 2021
Opinions
Top Stories, Tweets
- Top Stories, Jan 04-10: Best Python IDEs and Code Editors You Should Know; All Machine Learning Algorithms You Should Know in 2021
- Top December Stories: Why the Future of ETL Is Not ELT, But EL(T); 20 Core Data Science Concepts for Beginners
Jobs
- See our recent jobs in AI, Analytics, Data Science, Machine Learning
- You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email - see details at kdnuggets.com/jobs
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From MLOps: Model Monitoring 101
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